ArticleNucleic acids research2026
ClinMAVE: a curated database for clinical application of data from multiplexed assays of variant effect.
Article in Nucleic acids research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Reassessing BenignGenes · 2026Article
- Accurate variant effect estimation in FACS-based deep mutational scanning data with Lilace.Genome biology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
The widespread use of next-generation sequencing in clinical practice has generated vast numbers of genetic variants from both inherited disorders and tumor profiling, many classified as variants of uncertain significance (VUS). These uncertain variants limit the clinical utility of genomic testing by constraining risk assessment, diagnosis, and treatment selection. Multiplexed Assays of Variant Effect (MAVEs) provide scalable, high-throughput functional data for variant characterization and are recognized by ACMG/AMP guidelines as valid evidence for clinical classification. However, existing resources lack harmonized annotations, structured evidence grading, and interoperability with clinical databases needed for application in genetic disease and somatic cancer workflows. Here, we developed ClinMAVE (https://ngdc.cncb.ac.cn/clinmave/), a curated database for clinical application of MAVE data. ClinMAVE offers functional evidence for over 2.1 million variants across 821 genes, with standardized annotations, detailed assay context, and ACMG/AMP-aligned evidence grading. Integrated with ClinVar, gnomAD, TCGA, and in silico tools, ClinMAVE bridges the gap between experimental data and clinical standards, providing a unified, clinician-ready platform for functional variant interpretation in both hereditary disease and cancer genomics.
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Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.